Submodular Maximization with Limited Function Access
Author:
Affiliation:
1. Electrical and Computer Engineering, University of Waterloo, Waterloo, ON, Canada
2. Department of Electrical and Computer Engineering, University of California, Los Angeles
Funder
Natural Sciences and Engineering Research Council of Canada
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9/4601496/09969880.pdf?arnumber=9969880
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Online Submodular Coordination With Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination;IEEE Robotics and Automation Letters;2023-04
2. A Programming Approach for Worst-case Studies in Distributed Submodular Maximization;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06
3. Optimistic Greedy Strategies for Partially Known Submodular Functions;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06
4. Resource-Aware Distributed Submodular Maximization: A Paradigm for Multi-Robot Decision-Making;2022 IEEE 61st Conference on Decision and Control (CDC);2022-12-06
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